code: def test_repr():
      predictor = LightGBMPredictor(model=model)
  
      representation = repr(predictor)
  
      assert len(representation) < MAX_REPR_LENGTH
      pattern = re.compile("^LightGBMPredictor\\((.*)\\)$")
      assert pattern.match(representation)
  
file_path: ray/python/ray/train/tests/test_lightgbm_predictor.py
imports: import re
  import lightgbm
  import numpy
  import pandas
  import pytest
  from ray.air.constants import MAX_REPR_LENGTH
  from ray.air.util.data_batch_conversion import _convert_pandas_to_batch_type
  from ray.train.lightgbm import LightGBMCheckpoint, LightGBMPredictor
  from ray.train.predictor import TYPE_TO_ENUM
  from ray.train.tests.dummy_preprocessor import DummyPreprocessor
label_desc: Use image node_id 2 for calling a global function with example usage: test_repr() without return types